Academic Projects

Deep Learning

Unitary/Orthogonal matrices are known best solving gradient vanishing/explosion problems. This approach leads to new type of RNNs and has the potential to next level natural language models. It can also be applied to meta learning and reinforcement learning models.

AI for Physics

Applying modern deep learning tools to frontier physics research with massive data has significant advantage. Unconscious reasoning plays an important role in human decision. This is the same for physical world. Going with data directly and building intuitive models surprisingly provide rich understanding in physics.